S. Rafi
Role not yet determined Is this you? Add your title
Also affiliated: Cadi Ayyad University (2018–2024); Mohammed V University (2024); Sylhet Agricultural University (2025); George Mason University (2023–2025); Bangladesh University of Engineering and Technology (2020); CARE Hospitals (2018); Centre Hospitalier Universitaire Mohammed VI (2017–2025); Mohamed I University (2025); MNR Medical College and Hospital (2015–2017); Ibn Sina Hospital (2025); Razi Hospital (2023); Institute of Science and Technology (2018); Military Institute of Science and Technology (2018); Osmania Medical College (2015)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
S. Rafi's research interests encompass the application of artificial intelligence and machine learning in various domains, alongside medical research focused on lung cancer diagnosis and treatment education. Rafi has investigated the use of AI and ML for detecting Android malware and analyzing cybercrime trends. Their work also includes a systematic review on AI and ML applications during the COVID-19 pandemic and exploring the potential and challenges of ChatGPT in software testing education. In the medical field, Rafi's publications address the efficacy of bronchial wash cytology and its correlation with biopsy in lung tumors. Additionally, Rafi has contributed to research on the importance of therapeutic education in managing insulin injections. With an h-index of 7 and over 72 publications, Rafi has a citation count of 430.
Metrics
- h-index: 7
- Publications: 72
- Citations: 430
Selected Publications
-
Genomic-island cassette architecture drives pathogenic Enterococcus cecorum lineages: Cassette2Vec-EC, a structural genomics and machine-learning framework (2026)
-
Decoding neuronal gene expression: integrative insights from omics and AI (2026)
-
Gender Disparities in Arkansas, and Income Disparities in the US for the PPP Loan Program (2023)
-
Who rides Uber anyway? A census-tract level analysis and clustering of ride-shares for the city of Chicago during the era of the pandemic (2022)
Collaboration Network
Top Collaborators
- Decoding neuronal gene expression: integrative insights from omics and AI
Similar Researchers
Based on overlapping research topics